Research Scientist - SPEC
Job in
Visalia, Tulare County, California, 93290, USA
Listing for:
Edeniq, Inc.
Full Time
position
Listed on 2025-12-02
Job specializations:
-
Research/Development
Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 125000 USD Yearly
USD
90000.00
125000.00
YEAR
Job Description & How to Apply Below
Description
TITLE:
Research Scientist
EXEMPT OR NON-EXEMPT:
Exempt
FULL- OR PART-TIME:
Full-time
PAY RANGE: $90,000 - $125,000 + bonuses
REPORTS TO:
Technical Director or as otherwise assigned.
SUMMARY:
The Research Scientist will typically report to the Technical Director but may report to another member of Technology Management, as required. The Research Scientist is responsible for completing assigned research projects focused on the development of quantitative analytical chemistry techniques in support of Edeniq’s business objectives including experimental design and conduct, data analysis, generation of meaningful conclusions and recommendations, and timely report writing.
Responsibilities will also include conception and design of research projects and objectives, as well as supporting Edeniq Management in the development of technology strategy. Supervision of one or more Support Staff can be expected. Direct support of Company Intellectual Property development can also be expected. The Research Scientist will have a strong personal commitment to safety and be able to succeed in a fast-paced collaborative environment.
EXPECTATIONS OF ALL EMPLOYEES:
All employees of Edeniq, Inc. (“Edeniq” or the “Company”) must adhere to and follow the policies and procedures in the Company’s Employee Handbook and are required to comport themselves to other Edeniq stakeholders (the Company, fellow employees, vendors, customers and other vested Company parties) with respect, support, honesty, courteousness, and hard work—"doing what we said we would do, and doing it well.”
ESSENTIAL FUNCTIONS:
Conducts and completes assigned research projects:Defines research objectives, milestones, and timelines. Defines project resource requirements.Writes concise research project proposals for Technical Director review and approval.Ensures project research is conducted consistent with project objectives, milestones, and timelines. Effectively manages project resources.Effectively communicates progress toward project objectives, milestones, and timelines to Technical Director and Company Management, as required. Recommends, when appropriate, revisions in project objectives, milestones, and timelines.Analyzes experimental data and generates scientifically valid conclusions and recommendations, as needed, for future research.Provides timely written reports to Company Management describing progress toward project objectives, milestones, and timelines. Provides timely final project report upon project completion.Works with Technology and Company Management to identify and pursue Intellectual Property derived from research project results.Supervises one or more members of Support Staff including direction of daily project activities, data review, coaching and counseling, and performance feedback.Remains current on relevant scientific literature and intellectual property landscape. Develops and maintains competitive intelligence in relevant areas.Directly supports Technology and Company Management in defining new research projects and potential new areas for development.Maintains accurate lab and data records in accordance with Company policies.Ensures a hygienic work environment, participating in lab cleanliness, organization, and other tasks. Supports and adheres to all company policies on safety, chemical hygiene, and the environment.KNOWLEDGE, SKILLS AND ABILITIES:
Demonstrated ability to develop and validate novel and robust quantitative analytical chemistry methods.Extensive knowledge of modern analytical techniques:Chromatography (including hyphenated techniques)SpectroscopyNear Infrared (NIR) and Infrared (IR)RamanUltraviolet and visible (UV/Vis)FluorescenceNuclear Magnetic Resonance (NMR)Exceptional quantitative data analysis and computer skills:Statistics, including working knowledge of software such as Mat LabMultivariate Data Analysis techniques such as Partial Least Squares (PLS) and Design of Experiment (DOE)Data reduction techniques such as Principal Components Analysis (PCA)Exposure to Machine Learning and Visualization would serve as an added recommendationKnowledge of fermentation and carbohydrate chemistry would…
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